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Genes expression Dimensions reduction for Cancer classification based on optimized deep neural network with Giza pyramid construction

2023-10-03

Abstract excerpt

High-dimensional data, such as microarray data, are commonly utilized to diagnose diseases. In this type of data, each array corresponds to a gene in the chromosomal makeup. As certain diseases are caused by gene mutations, identifying these genes is crucial for accurate disease classification. Feature selection (FS) is a key approach in pattern recognition and bioinformatics to reduce the number of dimensions in...

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Literature Corpus work
ab8348b2-29bc-55ff-a319-ea9ed8f7d9fe
DOI
10.21203/rs.3.rs-3381640/v1
Open publication

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Genes expression Dimensions reduction for Cancer classification based on optimized deep neural network with Giza pyramid constructionDOI 10.21203/rs.3.rs-3381640/v1
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